Enhancements to the Oscar AP data analytics platform will give autonomous predictive powers to business decision-making.
Massive Analytic (MA) and the Department of Computer Science at University College London (UCL) have come together in a Knowledge Transfer Partnership (KTP).
The venture, sponsored by Innovate UK, will focus on the patented artificial precognition technology that drives MA’s Oscar AP data analytics platform.
UCL and MA will develop intelligent recommendation algorithms and create a controllable prediction engine.
The Oscar AP platform will then be improved as this will leverage artificial intelligence capabilities to artificial precognition.
The aim of the project is to build a fully automated solution capable of answering any enterprise query, including predicting revenues.
Dr. Jun Wang, academic supervisor for UCL Computer Science, said: "The KTP project will explore practical methods of automating the selection of machine learning algorithms for big data analytics.
"We are excited about the KTP project with Massive Analytic as this provides a channel for us to transfer our research results in information retrieval and recommender system at UCL into actual products and to be directly used by end users."
George Frangou, the Executive Chairman of Massive Analytic, said: "The KTP with UCL will help develop Oscar AP into generalised application for emulating a user’s thought processes, through the use of optimal control theory and the development of a universal recommendations for business algorithms.
"Business users will be able to easily carry out advanced analytics and data scientists will have time freed up to discover more insights. The novel use of optimal control theory will optimise processes to achieve the required output, learning on the fly from successes and failures."